This slate produced a market efficiency score of 81, signaling a high opportunity environment. That matters because higher efficiency usually means fewer exploitable gaps between the model and the market.

MEI
81
HIGH OPPORTUNITY
Top Edge
4.5%+
LAD @ PIT
Density
13.0%
2 of 15
Passed
13
of 15
Track your edge Check your CLV
Signal
Signal Published
Boston Red Sox -1.5
BOS @ TB
Market
-1.5
Model
-2.1
Edge
4.5%+
Status
SIGNAL

Efficient markets create fewer mistakes to exploit. On slates like this one, the strongest move is often restraint.

Game Breakdown
MatchupSpreadEdgeStatus
BOS @ TB -1.5 4.5%+ SIGNAL
PHI @ TOR -1.5 4.5%+ SIGNAL
WAS @ SF -1.5 4.5%+ FILTERED
HOU @ LAA -1.5 4.5%+ FILTERED
CIN @ SD -1.5 4.5%+ FILTERED
ATL @ CHW -1.5 3.5 to 4.4% FILTERED
ARI @ MIA 1.5 Below 2% PASS
CHC @ COL 1.5 Below 2% PASS
STL @ NYM 1.5 2 to 3.4% PASS
TEX @ KC 1.5 4.5%+ FILTERED
SEA @ BAL 1.5 4.5%+ FILTERED
MIL @ OAK 1.5 4.5%+ FILTERED
NYY @ CLE 1.5 4.5%+ FILTERED
MIN @ DET 1.5 4.5%+ FILTERED
LAD @ PIT 1.5 4.5%+ FILTERED
Line Movement
Seattle Mariners @ Baltimore Orioles -0.2 pp away
Arizona Diamondbacks @ Miami Marlins -2.4 pp away
Boston Red Sox @ Tampa Bay Rays +1.5 pp toward model
New York Yankees @ Cleveland Guardians +2.8 pp toward model
Minnesota Twins @ Detroit Tigers -1.0 pp away
Los Angeles Dodgers @ Pittsburgh Pirates +2.3 pp toward model
Last 7 graded signals ยท MLB
Record
3-4
CLV beat
6 of 7

The difference between a winning year and a losing one is usually not the picks you hit. It is the 13 games like these that you do not play.

Common Questions
What is a market efficiency score?
The Market Efficiency Index (MEI) measures disagreement between the SharpPicks model and market prices across a full slate. Higher scores indicate more potential opportunity.
Why were most games passed?
A game is passed when the model's projected edge falls below the 4.5% qualification threshold. The market price is close enough to the model's estimate that betting offers no meaningful expected value.
What makes a game qualify as a signal?
A signal requires the model's edge to exceed 3.5% AND pass confidence and validation filters. The four ensemble models must show sufficient agreement on direction.
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